Bhowmik / Jagadish / Gupta | Modeling and Optimization of Advanced Manufacturing Processes | E-Book | www.sack.de
E-Book

E-Book, Englisch, 85 Seiten

Reihe: Manufacturing and Surface Engineering

Bhowmik / Jagadish / Gupta Modeling and Optimization of Advanced Manufacturing Processes


1. Auflage 2018
ISBN: 978-3-030-00036-3
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 85 Seiten

Reihe: Manufacturing and Surface Engineering

ISBN: 978-3-030-00036-3
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.

?Sumit Bhowmik is an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India. Composite materials, optimization techniques and mechanical behaviour of materials under different constraint are his current research area of interest. 
Jagadish is an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India. His areas of interests are Modeling of advanced manufacturing process, Green manufacturing and Applied soft computing techniques.  Kapil Gupta is an Associate Professor  at the Dept. of Mechanical and Industrial Engineering Technology at the University of Johannesburg, South Africa. Advanced machining processes, sustainable manufacturing, precision engineering and gear technology are the areas of his interest and specialization. Currently, he is doing research in advanced/modern machining,  sustainable manufacturing and gear engineering.

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Weitere Infos & Material


1;Preface;6
2;Contents;8
3;Nomenclature;10
4;1 Introduction;12
4.1;1.1 Introduction to Advanced Machining Processes;12
4.1.1;1.1.1 Advantages of Advanced Machining Processes;13
4.1.2;1.1.2 Disadvantages of Advanced Machining Processes;13
4.1.3;1.1.3 Applications of Advanced Machining Processes;14
4.2;1.2 Classification of Advanced Machining Processes;14
4.3;1.3 Modeling and Optimization in Advanced Machining Processes;14
4.4;1.4 Multi-criteria Decision-Making Optimization Techniques;16
4.4.1;1.4.1 MCDM Techniques in Advanced Machining Processes;17
4.5;1.5 Summary;22
4.6;References;23
5;2 Modeling and Optimization of Electrical Discharge Machining;26
5.1;2.1 Introduction;26
5.2;2.2 Integrated SOW–WGRA-Based MCDM Method;28
5.3;2.3 Experimental Study;31
5.3.1;2.3.1 Background;31
5.3.2;2.3.2 Experimental Details;32
5.4;2.4 Modeling of EDM Process;33
5.5;2.5 Results and Discussion;36
5.5.1;2.5.1 Optimum Combination of Process Parameters;36
5.5.2;2.5.2 Optimum Input Parameter and Its Level Combination;37
5.6;2.6 Summary;37
5.7;References;38
6;3 Modeling and Optimization of Abrasive Water Jet Machining Process;40
6.1;3.1 Introduction;40
6.2;3.2 Integrated M-DEMATEL–TOPSIS-Based MCDM Method;42
6.3;3.3 Experimental Study;46
6.3.1;3.3.1 Background;46
6.3.2;3.3.2 Workpiece Preparation;46
6.3.3;3.3.3 Experimental Procedure;47
6.3.4;3.3.4 Modeling of AWJM Process;48
6.4;3.4 Results and Discussion;52
6.4.1;3.4.1 Optimum Combination of Process Parameters;52
6.4.2;3.4.2 Optimum Input Parameters and Level Combination;53
6.5;3.5 Summary;54
6.6;References;55
7;4 Modeling and Optimization of Ultrasonic Machining Process;56
7.1;4.1 Introduction;56
7.2;4.2 Integrated Fuzzy-MCRA-Based MCDM Method;58
7.3;4.3 Experimental Study;60
7.3.1;4.3.1 Background;60
7.3.2;4.3.2 Workpiece Preparation;60
7.3.3;4.3.3 Experimental Procedure;60
7.3.4;4.3.4 Modeling of USM Process;62
7.4;4.4 Results and Discussion;65
7.4.1;4.4.1 Optimum Combination of Process Parameters;65
7.4.2;4.4.2 Optimum Input Parameters and Level Combination;66
7.5;4.5 Summary;66
7.6;References;67
8;5 Modeling and Optimization of Rapid Prototyping Process;69
8.1;5.1 Introduction;69
8.2;5.2 Integrated Fuzzy–M-COPRAS-Based MCDM Method;72
8.3;5.3 Experimental Study;75
8.3.1;5.3.1 Background;75
8.3.2;5.3.2 Workpiece Specimen;75
8.3.3;5.3.3 Experimental Procedure;76
8.3.4;5.3.4 Modeling of FDM Process;78
8.4;5.4 Result and Discussions;80
8.4.1;5.4.1 Optimum Combination of Process Parameters;80
8.4.2;5.4.2 Optimum Input Parameters and Level Combination;81
8.5;5.5 Summary;83
8.6;References;83
9;Index;85



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